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Large Language Models (LLMs) are widely used in complex natural language processing tasks but raise privacy and security concerns due to the lack of identity recognition. This paper proposes a multi-party credible watermarking framework (CredID) involving a trusted third party (TTP) and multiple LLM vendors to address these issues. In the watermark embedding stage, vendors request a seed from the TTP to generate watermarked text without sending the user's prompt. In the extraction stage, the TTP coordinates each vendor to extract and verify the watermark from the text. This provides a credible watermarking scheme while preserving vendor privacy. Furthermore, current watermarking algorithms struggle with text quality, information capacity, and robustness, making it challenging to meet the diverse identification needs of LLMs. Thus, we propose a novel multi-bit watermarking algorithm and an open-source toolkit to facilitate research. Experiments show our CredID enhances watermark credibility and efficiency without compromising text quality. Additionally, we successfully utilized this framework to achieve highly accurate identification among multiple LLM vendors.

We investigated the human capacity to acquire multiple visuomotor mappings for de novo skills. Using a grid navigation paradigm, we tested whether contextual cues implemented as different "grid worlds", allow participants to learn two distinct key-mappings more efficiently. Our results indicate that when contextual information is provided, task performance is significantly better. The same held true for meta-reinforcement learning agents that differed in whether or not they receive contextual information when performing the task. We evaluated their accuracy in predicting human performance in the task and analyzed their internal representations. The results indicate that contextual cues allow the formation of separate representations in space and time when using different visuomotor mappings, whereas the absence of them favors sharing one representation. While both strategies can allow learning of multiple visuomotor mappings, we showed contextual cues provide a computational advantage in terms of how many mappings can be learned.

-- Design of printed circuit board (PCB) stack - up requires the consideration of characteristic impedance, insertion loss and crosstalk. As there are many parameters in a PCB stack - up design, the optimization of these parameters needs to be efficient and accurate. A le ss optimal stack - up would lead to expensive PCB material choices in high speed designs. In this paper, a n efficient global optimization method using parallel and intelligent Bayesian optimization is proposed for the stripline design . In high speed system design, optimizing printed circuit board (PCB) stack - up is playing a more and more important role in design stage.

ROUND ROCK, TEXAS – The suspect in the deadly string of bombings that terrorized Austin blew himself up early Wednesday as authorities closed in on him, bringing a grisly end to the three-week manhunt. But police warned that there might be more bombs still out there. Authorities identified the suspect only as a 24-year-old white man and said his motive remained a mystery, along with whether he acted alone in the five bombings in Texas' capital and suburban San Antonio that killed two people and wounded four others. Authorities had zeroed in on the man in the last 24 to 36 hours and located his vehicle at a hotel on Interstate 35 in the suburb of Round Rock, Austin Police Chief Brian Manley said at a news conference. They were waiting for ballistic vehicles to arrive to move in for an arrest when his vehicle began to drive away, Manley said.

Here are the largest device recalls in the past 20 years. This handout photo taken and released by Gwangju Bukbu Police Station on Sept. 13, 2016, shows a blown-up Samsung Galaxy Note7 smartphone in Gwangju, 270 kms south of Seoul. The owner claims he received burn injuries on a finger while attempting to extinguish his burning phone after he was jolted from his bed by the sound of an explosion early Sept. 13. SAN FRANCISCO -- Troubles with Samsung's Galaxy Note 7 phones put the South Korean company at the head a long line of companies that have faced major tech recalls. Some go back to the beginnings of the personal computer era, with many linked to overheating and fire danger from malfunctioning lithium ion batteries.